Generative Pre-Trained Transformer-4 based on English Assistant Teaching System in Higher Vocational Colleges

Nowadays, globalization accelerates the growing demand for English proficiency among students in numerous ways, technical and professional education including business, engineering, healthcare, vocational institutions and technology. In this, effective communication is essential for interactive multimedia and in any conference different types of language speaking people attends and the communication with no proper language can misguide the process. Therefore, this paper proposes Generative Pre-Trained Transformer (GPT-4) for personalized feedback and interactive communication in real-time with vocational field. Firstly, personalized guidance for customized grammar and vocabulary differentiate truthful and incorrect statements when the person communicated through English language in any professional field. This segment of text with passages provides feedback on comprehension for unstructured data in higher vocational field. Then, this feedback response for real-time feedback generated data split into pieces or documents for assistant teaching is followed by data validation. After that, these documents differentiate incorrect statements in communicated way throughout the world in interactive sessions and providing detailed feedback. The proposed GPT-4 for English assistant teaching system achieved better results in terms of accuracy, precision, recall and F1-Score when compared to GPT-3.